data consultant

Fractal

<div>
 
 
 
 About Fractal :
 
 
 
 
 
 
 
 What makes Fractal a GREAT fit for you? When you join Fractal, you'll be part of a fast-growing team that helps our clients leverage AI together with the power of behavioural sciences to make better decisions. We're a strategic analytics partner to most admired fortune 500 companies globally, we help them power every human decision in the enterprise by bringing analytics, AI and behavioural science to the decision.
 
 
 Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal&rsquo;s mission is to power every human decision in the enterprise and uses the power of AI to help the world&rsquo;s most admired Fortune 500 companies
 
 
 
 
 
 
 Roles and Responsibilities
 
 
 <ul>
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 Leverage Data to solve key business problems from the clients. They will be working on identifying or creating data driven solutions to solve key problems in the industry.
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 Prior experience in financial services or Payment&rsquo;s industry is preferred (Visa, Mastercard, American Express and discover)
 
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 Excellent Communication and Problem-solving skills
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 Ability to architect and design reporting solutions based on client needs.
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 Client communication management is preferred.
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 </ul>
 
 
 
 
 
 Mandatory technical skills
 
 
 <ul>
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 Intermediate level of Hands-on coding Python/PySpark, SQL &ndash; mandatory
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 Basic to Intermediate Tableau or Power BI experience &ndash; mandatory
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 </ul>
 
 
 
 
 
 Mandatory non-technical skills
 
 
 <ul>
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 Excellent Communication and Problem-solving skills
 </li>
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 Ability to generate insights from a given data set.
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 </ul>
 
 
 
 
 
 Education Qualification
 
 
 
 B.E/B.Tech, BCA, MCA equivalent
 
</div>

Data Consultant

Horizontal

<div>Data Consultant &ndash; Contractor
At Horizontal Digital, we hold ourselves to one key belief: You&rsquo;re only as good as your worst customer experience. This mantra is what drives our digital consultancy to think beyond the easy answers and instead create websites, apps, portals, and other experiences that solve customer needs for Fortune 500 companies in intuitive and empathetic ways. And we make this lofty standard a reality by fusing strategy, data, design, and technology together to arrive at solutions that set the bar higher for everyone.
We use these values to fuel superior results:
Lock arms
 
We forge relationships that make our impact 1,000x stronger. This means working across departments and engaging both our clients and our communities to deliver the greatest good.
Show hustle
 
We&rsquo;re not ones to sit on our hands and wait. Instead, we anticipate opportunities, collectively roll up our sleeves, and find ways to execute the exceptional.
Embrace change 
From new technologies to workplace philosophies, we welcome the unexpected and constantly anticipate what&rsquo;s next.
Elevate empathy
 
We listen before we take action. This means understanding a variety of perspectives and holding ourselves to a higher standard of accountability.
Never settle
 
We motivate each other to push past the easy answers and collectively arrive at bigger, more inspiring ideas. 
But enough about us. Let&rsquo;s talk about you.
We&rsquo;re looking for a Data Analyst who brings precision, curiosity, and a problem-solving mindset to every engagement. You&rsquo;ll be instrumental in surfacing insights that fuel our digital experiences &mdash; and guide our clients toward smarter, data-backed decisions.
What you&rsquo;ll be doing:
<ul><li>Gather, clean, and interpret large volumes of data across web, campaign, and product analytics</li>
</ul><ul><li>Develop dashboards and reports using Power BI, GA4, and Looker Studio</li>
</ul><ul><li>Work closely with stakeholders to identify performance trends and opportunities across digital platforms</li>
</ul><ul><li>Implement and manage Google Tag Manager (GTM) and DataLayer structures to ensure robust data collection</li>
</ul><ul><li>Collaborate with strategy, design, and tech teams to measure the effectiveness of digital experiences</li>
</ul><ul><li>Translate complex datasets into clear and actionable insights for internal and external stakeholders</li>
</ul><ul><li>Continuously improve tracking accuracy, analytics workflows, and campaign tagging processes</li>
</ul>What you bring to the table:
<ul><li>2&ndash;4 years of experience in a data analyst or digital analytics role</li>
</ul><ul><li>Proficiency in Google Analytics (GA4), GTM, Power BI, and strong Excel/Sheets knowledge</li>
</ul><ul><li>Experience working with websites and CMS platforms, with an understanding of front-end code (HTML, CSS, JS) a plus</li>
</ul><ul><li>Hands-on experience building and managing GTM containers and custom DataLayers</li>
</ul><ul><li>Experience with ad tracking, media performance analysis, and optimization (DV360, Meta Ads, Google Ads)</li>
</ul><ul><li>Strong communication skills and the ability to explain complex findings in simple terms</li>
</ul><ul><li>Detail-oriented, curious, and comfortable managing multiple tasks in a fast-paced environment</li>
</ul><ul><li>Bonus: Familiarity with SQL, Python scripting for automation, or experience developing dashboards for marketing teams</li></ul></div>

Data Consultant - Contractor

TAWANTECH

<div>
 
 Responsibilities:
 
 
 
 <ul>
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 Provide Big Data strategy consulting to enterprises and government organizations.
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 Build and manage BI &amp; Data Analytics Centers of Excellence to drive organizational data maturity.
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 Advise on data governance, security, and compliance frameworks.
 </li>
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 Design and implement scalable Big Data solutions across industries
 
 
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 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, or related field.
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 Minimum 7 years of experience in Big Data architecture, strategic planning, and consulting.
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 Proficiency in Big Data technologies, ML, Data Modeling, ETL, Python, AI Integration, Gen AI, Agentic AI, OSINT, GEOINT.
 </li>
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 Strong leadership and advisory skills for enterprise-scale projects
 </li>
 </ul>
</div>

Big Data Consultant & Architect

<div>Responsibilities:<ul>
<li>Provide Big Data strategy consulting to enterprises and government organizations.
</li><li>Build and manage BI &amp; Data Analytics Centers of Excellence to drive organizational data maturity.
</li><li>Advise on data governance, security, and compliance frameworks.
</li><li>Design and implement scalable Big Data solutions across industries.</li>
</ul>Requirements<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field.
</li><li>Minimum 7 years of experience in Big Data architecture, strategic planning, and consulting.
</li><li>Proficiency in Big Data technologies, ML, Data Modeling, ETL, Python, AI Integration, Gen AI, Agentic AI, OSINT, GEOINT.
</li><li>Strong leadership and advisory skills for enterprise-scale projects.</li></ul></div>

INFRA ASSURE

The Data Center Consultant provides expert guidance in designing, implementing, and managing enterprise-grade data center solutions. This role focuses on ensuring high availability, scalability, energy efficiency, and security for on-premises and hybrid environments. The consultant will assess current infrastructure, recommend improvements, and deliver projects that align with business goals and industry best practices.Key Responsibilities1. Assessment &amp; Strategy<ul><li>Evaluate existing data center infrastructure, capacity, and performance.</li><li>Develop strategic roadmaps for data center consolidation, migration, or expansion.</li><li>Recommend solutions for high availability, disaster recovery, and business continuity.</li></ul>2. Design &amp; Implementation<ul><li>Architect and deploy solutions covering compute, storage, network, and virtualization platforms.</li><li>Oversee rack layouts, power distribution, cooling systems, and cabling standards.</li><li>Plan and execute migrations to cloud, hybrid, or colocation facilities when required.</li></ul>3. Operations &amp; Optimization<ul><li>Establish monitoring systems to maintain uptime and optimize resource utilization.</li><li>Conduct capacity planning and load balancing to support business growth.</li><li>Implement energy-efficient practices to reduce operational costs.</li></ul>4. Security &amp; Compliance<ul><li>Define and enforce security policies for physical and logical data center assets.</li><li>Ensure compliance with standards such as ISO 27001, PCI-DSS, or local regulatory frameworks.</li></ul>5. Documentation &amp; Training<ul><li>Maintain detailed architecture diagrams, inventory, and change-management records.</li><li>Provide training and knowledge transfer to internal IT and facilities teams.</li></ul>Required Qualifications &amp; Skills<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, Electrical/Mechanical Engineering, or equivalent experience.</li><li>5+ years of experience in data center design, operations, or consulting.</li><li>Strong understanding of compute (servers, virtualization), storage (SAN/NAS), and enterprise networking.</li><li>Knowledge of power, cooling, and environmental management systems.</li><li>Familiarity with cloud and hybrid environments (AWS, Azure, Google Cloud).</li><li>Excellent project management and client-facing communication skills.</li></ul>Job Type: Temporary Contract length: 4 weeks

Data Center Consultant

Devoteam

<div>
 
 
 Company Description
 
 
 
 
 
 Tech for People Unlocks the Future
 
 
 
 At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.
 
 
 With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.
 
 
 
 Devoteam Culture &amp; Values:
 
 
 
 True innovation is born from a powerful culture, fused with meaningful values.
 
 
 
 Culture:
 
 
 <ol>
 <li>
 
 
 Fair and courageous
 
 
 
 Everyone is treated fairly &ndash; this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.
 
 </li>
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 Ambition and results
 
 
 
 Ambition is nurtured at every step &ndash; this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.
 
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 Learning and innovating
 
 
 
 Curiosity and learning are at our core &ndash; this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.
 
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 Caring and sharing
 
 
 
 A caring attitude is infused into our culture &ndash; this encourages sharing. We believe in the power of teams, we promote support and collaboration.
 
 
 At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers,&nbsp;
 
 
 </li>
 </ol>
 
 knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.
 
 
 
 
 Because alone, we go faster &ndash; but together, we go further.
 
 
 
 
 Values:
 
 
 <ol>
 <li>
 
 Respect
 
 </li>
 <li>
 
 Frankness
 
 </li>
 <li>
 
 Passion
 
 
 </li>
 </ol>
 
 Business Unit:
 
 
 
 Data &amp; Intelligence&nbsp;
 
 
 
 Level:
 
 
 
 Senior to Managerial -level
 
 
 
 
 To know more about us, please visit:&nbsp;www.devoteam.com
 
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Design &amp; implement the data governance framework and operating model and roles and responsibilities
 </li>
 <li>
 Design &amp; implement the data governance process workflows
 </li>
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 Conduct requirement gathering, business analysis, and any data architecture activities with the data governance
 </li>
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 Participate in the data maturity assessment sessions and gap analysis
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 &nbsp;Participate in alignment with EA teams and data strategy across the organization.
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 Coordinate with the project teams and others to ensure that data standards and models align with the overall enterprise architecture and applicable standard
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 Define roles and responsibilities related to data governance and data quality, develop related processes and procedures, and establish a common understanding and visibility of all agency data assets.
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 Develop a strong working relationship with the appropriate business users and provide business-impact-driven analysis and communicate results to stakeholders.
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 Engage in Establishing &amp; Operate Data offices
 </li>
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 Engage in design &amp; implementing the data governance framework in the project. Including the standards, policies and procedures, operating model and data quality standards, roles, and procedures.
 </li>
 <li>
 Help in managing and running the maturity assessment and change management practice throughout the project.
 </li>
 <li>
 Participate in the delivery of the data governance projects.
 </li>
 </ul>
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachler's degree in IT&nbsp;or any related majors&nbsp;
 </li>
 <li>
 DAMA, Informatica, Collibra certificates
 </li>
 <li>
 5+ years of experience&nbsp;
 
 
 
 </li>
 </ul>
 &nbsp;
 
 
 
 
 Additional Information
 
 
 
 
 
 Fluency in Arabic &amp; English is highly desirable&nbsp;
 
 
</div>

Data Governance Consultant

Optum

<div>Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. 
Primary Responsibilities:<ul><li>
Support the full data engineering lifecycle including research, proof of concepts, design, development, testing, deployment, and maintenance of data management solutions</li><li>
Utilize knowledge of various data management technologies to drive data engineering projects</li><li>
Lead data acquisition efforts to gather data from various structured or semi-structured source systems of record to hydrate client data warehouse and power analytics across numerous health care domains</li><li>
Leverage combination of ETL/ELT methodologies to pull complex relational and dimensional data to support loading DataMart's and reporting aggregates</li><li>
Eliminate unwarranted complexity and unneeded interdependence</li><li>
Detect data quality issues, identify root causes, implement fixes, and manage data audits to mitigate data challenges</li><li>
Implement, modify, and maintain data integration efforts that improve data efficiency, reliability, and value</li><li>
Leverage and facilitate the evolution of best practices for data acquisition, transformation, storage, and aggregation that solve current challenges and reduce the risk of future challenges</li><li>
Effectively create data transformations that address business requirements and other constraints</li><li>
Partner with the broader analytics organization to make recommendations for changes to data systems and the architecture of data platforms</li><li>
Support the implementation of a modern data framework that facilitates business intelligence reporting and advanced analytics</li><li>
Prepare high level design documents and detailed technical design documents with best practices to enable efficient data ingestion, transformation and data movement</li><li>
Leverage DevOps tools to enable code versioning and code deployment</li><li>
Leverage data pipeline monitoring tools to detect data integrity issues before they result into user visible outages or data quality issues</li><li>
Leverage processes and diagnostics tools to troubleshoot, maintain and optimize solutions and respond to customer and production issues</li><li>
Continuously support technical debt reduction, process transformation, and overall optimization</li><li>
Leverage and contribute to the evolution of standards for high quality documentation of data definitions, transformations, and processes to ensure data transparency, governance, and security</li><li>
Ensure that all solutions meet the business needs and requirements for security, scalability, and reliability</li><li>
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so</li></ul> 
Required Qualifications:<ul><li>
Graduate degree or equivalent experience</li><li>
Bachelor's Degree (preferably in information technology, engineering, math, computer science, analytics, engineering or other related field)</li><li>
5+ years of combined experience in data engineering, ingestion, normalization, transformation, aggregation, structuring, and storage</li><li>
5+ years of combined experience working with industry standard relational, dimensional or non-relational data storage systems</li><li>
5+ years of experience in designing ETL/ELT solutions using tools like Informatica, DataStage, SSIS , PL/SQL, T-SQL, etc.</li><li>
5+ years of experience in managing data assets using SQL, Python, Scala or other similar querying/coding language</li><li>
3+ years of experience working with healthcare data or data to support healthcare organizations</li><li>
3+ years of experience in Microsoft Azure Cloud, Azure Data Factory, Data Bricks, Spark, Scala / Python, ADO</li></ul> 
Preferred Qualifications:<ul><li>
Certification in Azure Cloud preferably DP-203</li><li>
Experience in Machine Learning Pipelines and AI in healthcare</li><li>
Experience in Data Visualization and BI Tools (Power BI, Tableau) for healthcare reporting</li><li>
Exposure in containerization and orchestration (Docker, Kubernetes, Airflow)</li><li>
Familiarity with Data Tokenization, anonymization and synthetic data generation for research</li></ul> 
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.</div>

Data Engineering Consultant

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